Design

Machine learning core, AutoML, and neural utilities for Novolis.

Published docs: https://novolis-platform.github.io/.github/novolis-machinelearning/

Layer placement

Follow library-boundaries for layer placement.

Goals

• Keep public APIs documented and packable as Novolis.* on GitHub Packages (when applicable).
• Prefer BCL types and existing Novolis packages over parallel abstractions.
• Document restore and ProjectReference-mode builds without local NuGet folder feeds.

Non-goals

• Local NuGet folder feeds or committed cross-repo ProjectReference into sibling checkouts.
• Avalonia package references outside Novolis.Avalonia.*.
• Upward spine dependencies (e.g. Math → Simulation).

Packages

• Novolis.MachineLearning.Algorithms
• Novolis.MachineLearning.AutoMl
• Novolis.MachineLearning.Core
• Novolis.MachineLearning.Dump
• Novolis.MachineLearning.Neural
• Novolis.MachineLearning.Neural.Abstractions

Topics

• dotnet
• machine-learning
• novolis